Evidence map›Paper›PMID 24413523›Full record

ArticleBioinformatics (Oxford, England)2014

myFX: a turn-key software for laboratory desktops to analyze spatial patterns of gene expression in Drosophila embryos.

Ivan Montiel, Charlotte Konikoff, Bremen Braun, Mary Packard, Sian L Gramates, Qian Sun, Jieping Ye, Sudhir Kumar

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 93% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Ivan MontielCenter for Evolutionary Medicine and Informatics, Biodesign Institute, Arizona State University (ASU), Tempe, AZ 85287, USA, Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA, School of Computing, Informatics, and Decision Systems Engineering, ASU, Tempe, AZ 85287, USA, School of Life Sciences, ASU, Tempe, AZ 85287, USA and Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Charlotte Konikoff
Bremen Braun
Mary Packard
Sian L Gramates
Qian Sun
Jieping Ye
Sudhir Kumar
King Abdulaziz University · SADecision Systems (United States) · USHarvard University · USArizona State University · US

Funding

Computatonal Analysis of Gene Expression Pattern ImagesR01HG002516 · NHGRI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI KUMAR, SUDHIR · 2003 to 2013
$5.3M
Computational Methods for Expression Image AnalysisR01LM010730 · NLM · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI KUMAR, SUDHIR, YE, JIEPING · 2011 to 2013
$934k
NHGRI NIH HHS HG002516-09NHGRI NIH HHS R01 HG002516NLM NIH HHS LM010730-03NLM NIH HHS R01 LM010730
6 · The paper itself

Abstract

Spatial patterns of gene expression are of key importance in understanding developmental networks. Using in situ hybridization, many laboratories are generating images to describe these spatial patterns and to test biological hypotheses. To facilitate such analyses, we have developed biologist-centric software (myFX) that contains computational methods to automatically process and analyze images depicting embryonic gene expression in the fruit fly Drosophila melanogaster. It facilitates creating digital descriptions of spatial patterns in images and enables measurements of pattern similarity and visualization of expression across genes and developmental stages. myFX interacts directly with the online FlyExpress database, which allows users to search thousands of existing patterns to find co-expressed genes by image comparison.

Indexed as

Gene Expression Regulation, DevelopmentalAnimalsDrosophila melanogasterGene ExpressionGene Expression ProfilingSoftware

Identifiers

PMID24413523
PMCPMC3998132
OpenAlexW2126573942

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.